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arXiv 2608.20920cs.CL

ForeDreamer:用于未来事件预测的自进化双智能体记忆架构

ForeDreamer: A Self-Evolving Dual-Agent Memory Architecture for Future Event Prediction

Linhao Zhong, Zongze Du, Linyu Wu, Yu Bo, Hourong Li, Chenchen Jing, Hao Chen, Yuling Xi, Chunhua Shen

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中文总结 AI 辅助

针对开放网络未来事件预测的不足,提出自进化双智能体框架ForeDreamer,分离事实与经验记忆,经Prophet Arena、FutureX实验验证其有效性

中文摘要 AI 辅助

开放网络未来事件预测要求智能体从嘈杂、冗余且不完整的证据中提取可靠信号。现有检索/记忆机制要么直接将检索到的信息输入智能体,要么依赖存储和复用先验信息等简单记忆功能进行预测,不足以应对开放网络预测场景。我们提出在预测前将原始网络证据转化为结构化记忆,使智能体能基于提炼的、针对问题的证据进行推理,而非嘈杂的检索结果。本文提出ForeDreamer,这是一个用于管理开放网络证据记忆的自进化双智能体框架。ForeDreamer将事实记忆(当前预测的针对问题的证据状态)与经验记忆(跨预测回合积累的持久智能体经验)分离;它使用主智能体进行搜索和预测,使用记忆处理子智能体通过专用工具将搜索结果转化为事实记忆。ForeDreamer还通过两条路径进化经验记忆,同时优化预测决策和事实记忆构建。在Prophet Arena和FutureX上的实验证明了ForeDreamer的有效性。项目页面:this https URL

英文摘要

Open-web future event prediction requires agents to distill reliable signals from noisy, redundant, and incomplete evidence. Existing retrieval/memory mechanisms directly feed retrieved information to agents or rely on simple memory functions such as storing and reusing prior information for prediction, leaving them insufficient for open-web forecasting. We propose to transform raw web evidence into structured memory before prediction, enabling agents to reason over distilled, question-specific evidence rather than noisy retrieval results. This paper presents ForeDreamer, a self-evolving dual-agent framework for managing memory over open-web evidence. ForeDreamer separates factual memory, a question-specific evidence state for the current forecast, from experiential memory, persistent agent experience accumulated across forecasting episodes. It uses a main agent for search and prediction, and a memory-processing subagent to convert search results into factual memory with dedicated tools. ForeDreamer further evolves experiential memory through two tracks, improving both forecasting decisions and factual-memory construction. Experiments on Prophet Arena and FutureX demonstrate the effectiveness of ForeDreamer. Project page: https://zhongzero.github.io/ForeDreamer

发表机构

  • Zhejiang University(浙江大学)
  • Ant Group(蚂蚁集团)
  • National University of Singapore(新加坡国立大学)
  • Zhejiang University of Technology(浙江工业大学)

机构由 AI 辅助整理,请以论文原文为准。

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